CORRECTION Open Access
Correction to: The role of machine learning in clinical research: transforming the future of evidence generation
E. Hope Weissler
1*, Tristan Naumann
2, Tomas Andersson
3, Rajesh Ranganath
4, Olivier Elemento
5, Yuan Luo
6, Daniel F. Freitag
7, James Benoit
8, Michael C. Hughes
9, Faisal Khan
3, Paul Slater
10, Khader Shameer
3, Matthew Roe
11, Emmette Hutchison
3, Scott H. Kollins
1, Uli Broedl
12, Zhaoling Meng
13, Jennifer L. Wong
14, Lesley Curtis
1,
Erich Huang
1,15and Marzyeh Ghassemi
16,17,18,19Correction to: Trials 22, 537 (2021)
https://doi.org/10.1186/s13063-021-05489-x
Following the publication of the original article [1], we were notified that current affiliations 17, 18 and 19 were erroneously added to the first author rather than the senior author (Marzyeh Ghassemi).
The original article has now been corrected.
Author details
1Duke Clinical Research Institute, Duke University School of Medicine, Box 2834, Durham, NC 27701, USA.2Microsoft Research, Cambridge, MA, USA.3AstraZeneca, Gothenburg, Sweden.4Courant Institute of Mathematical Science, New York University, New York, NY, USA.5Englander Institute for Precision Medicine, Weill Cornell Medical College, New York, NY, USA.
6Northwestern University Clinical and Translational Sciences Institute, Northwestern University, Chicago, IL, USA.7Division Pharmaceuticals, Open Innovation and Digital Technologies, Bayer AG, Wuppertal, Germany.
8University of Alberta, Edmonton, Alberta, Canada.9Department of Computer Science, Tufts University, Medford, MA, USA.10Billion Minds, Inc., Seattle, WA, USA.11Verana Health, San Francisco, CA, USA.12Boehringer-Ingelheim, Burlington, Canada.13Sanofi, Cambridge, MA, USA.14Sanofi, Washington, DC, USA.15Duke Forge, Durham, NC, USA.16Vector Institute, University of Toronto, Toronto, Ontario, Canada.17Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA.18Institute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA.19CIFAR AI Chair, Vector Institute, Toronto, Ontario, Canada.
Reference
1. Weissler, et al. The role of machine learning in clinical research:
transforming the future of evidence generation. Trials. 2021;22:537.https://
doi.org/10.1186/s13063-021-05489-x.
© The Author(s). 2021Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visithttp://creativecommons.org/licenses/by/4.0/.
The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
The original article can be found online athttps://doi.org/10.1186/s13063- 021-05489-x.
* Correspondence:Hope.weissler@duke.edu
1Duke Clinical Research Institute, Duke University School of Medicine, Box 2834, Durham, NC 27701, USA
Full list of author information is available at the end of the article Weissleret al. Trials (2021) 22:593
https://doi.org/10.1186/s13063-021-05571-4
